Along with metrics and logs, tracing is one of the three pillars of modern observability. Grafana Tempo is a high-volume distributed tracing backend whose only dependency is object storage. Unlike other tracing backends, Tempo can hit massive scale without a difficult-to-manage Elasticsearch or Cassandra cluster. Tempo supports search by trace id only. 

In this session, we will use an instrumented application to demonstrate how to use logs and Prometheus exemplars to find traces effectively in Tempo. The demo will hit on the basics of operating Tempo and reveal how Tempo allows us to scale tracing as far as possible with less operational cost and complexity than ever before.

During this webinar you will learn about:

  • Getting started setting up Tempo
  • Why Tempo?
  • How to discover traces without native search (Exemplars/Loki 2.0)
  • Upcoming Grafana exemplar support
  • Upcoming Prometheus exemplar support

Additional resources:

Joe Elliott
Joe Elliott

Principal Software Engineer
Grafana Labs

Joe Elliott has been working as an SRE/Devops/Infrastructure person with Kubernetes for the last 4 years. Currently a Senior Engineer at Grafana, he is the creator of Tempo and a Jaeger maintainer, and has contributed to the OpenTelemetry Collector, Loki, and Cortex.  When he’s not at the keyboard or wrangling kids, Joe likes to get out on his bike.